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    Austen Allred Questions Lending for AI Physical Assets

    Evan Conrad notes quiet ramping of GPU cluster volume over years.

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    5 Sources, 25d ago, first seen 25d ago

    TLDR

    Austen Allred stated that technology companies should use free cashflow and venture capital to fund AI development for potentially enormous returns. He highlighted a lack of lenders interested in providing financing at 6 to 7 percent for physical assets that could lose all value during temporary market lulls. Evan Conrad indicated that work on related GPU cluster problems has been underway for years with increasing volume. The comments were posted in response to a tweet from @gpugene.

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    143.5K

    5 Sources, first seen 25d ago

    Combined views

    143.5K

    5 Sources, first seen 25d ago

    668 likes
    668 likes
    40 comments
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    49 reposts

    Sentiment

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    40 comments
    675 saves
    49 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    5 Sources

    @AustenYes use tech free cashflow and VC dollars to fund AI, and if it works you everyone makes 50 quadrillion dollars. But there’s a shortage of people who want to lend at 6-7% for physical assets that go to 0 if there’s a temporary oversupply or lull in demand? Ya I bet.
    @evanjconradman if only someone had been working on this exact problem for years and has been quietly ramping volume
    @gokulrSuperb article by @gpugene on buying compute. Eugene works at @wafer_ai, and this depth and clarity of thinking is illustrative of how stacked and cracked the team is and why we at @MarathonMP are so excited to be an investor.
    @wafer_ai"The biggest bottleneck in the GPU industry at the moment is not chips, CoWoS, or even power. It's credit." our head of compute @gpugene on how uncertain GPU residual values shape lending terms and the capital required to bring new compute online. link to article in thread 🧵

    5 Sources

    @AustenYes use tech free cashflow and VC dollars to fund AI, and if it works you everyone makes 50 quadrillion dollars. But there’s a shortage of people who want to lend at 6-7% for physical assets that go to 0 if there’s a temporary oversupply or lull in demand? Ya I bet.
    @evanjconradman if only someone had been working on this exact problem for years and has been quietly ramping volume
    @gokulrSuperb article by @gpugene on buying compute. Eugene works at @wafer_ai, and this depth and clarity of thinking is illustrative of how stacked and cracked the team is and why we at @MarathonMP are so excited to be an investor.
    @wafer_ai"The biggest bottleneck in the GPU industry at the moment is not chips, CoWoS, or even power. It's credit." our head of compute @gpugene on how uncertain GPU residual values shape lending terms and the capital required to bring new compute online. link to article in thread 🧵